Recently, I’ve been reading up on stochastic differential equations. I’ve had some ideas on some projects at my day job, and quickly realized that I would need to write down some evolving processes that were inherently stochastic, thus why I’ve been reading up. This post will be short, and for more advanced readers may even… Continue reading Stochastic Differential Equations and Econometrics
Learn to deal with strings in pandas.
Some thoughts on strategic thinking in the world of data science. Here are 3 questions to kickstart your strategic thinking.
So last week I wrote about using dynamic optimization to understand how we should optimally respond to the global covid-19 crisis. This week, I wanted to take a step back and talk about the python package that made that all possible. It is a nice little package called gekko. As an aside, make sure to… Continue reading Dynamic Optimization For Solving Business Problems
Last week, I mentioned that even with all of our social distancing efforts, here in the great state of Utah, we would still overwhelm the medical system. It was kind of a bleak grim reminder that we are dealing with the specter of impending death. Fortunately, COVID-19 is no black plague. Deadly, sure. Incurable, at… Continue reading Optimal Control to The Rescue! Saving Us From Covid-19!
I was sitting here, at home, locked away, being socially distant, and I got to thinking, “What is the point?” So I started to read a bunch about the data, and the algorithms, and the point behind social distancing. I’ve got good news, and I’ve got bad news about our new national pass time of… Continue reading The Grim Reality of COVID-19
Over the past few months I’ve had a thought coalescing in my brain. It has been swirling around banging up against the inner portions of my skull. With each collision with my head, and with other ideas, and situations I find myself, this idea has been taking shape. It has been forming into the seeds… Continue reading What’s Wrong with Data Science Blogs (Including This One)
One thing that I have been thinking a lot about since I wrote my chapter on matrix factorization methods, and since I am currently writing a chapter on graph theory is on the idea of a recommendation engine. (If you want to get the book free as I write it click here) They have become… Continue reading Deep Learning Based Recommendation Engines using Keras
Yep, we’re going there. Which football team is the best? Well, ask any fan and they are going to tell you that it is their personal favorite. But we are data scientists. Surely, we can do better! And of course, we can. That’s why in this post we will be learning how to use Networkx… Continue reading Using Networkx in Python to Find the Best Team Via a Directed Graph
Principal components analysis is all about rotating data. That is all that it does. I know that sounds simple but the algorithm itself is designed to find the best rotation such that most of the variation lies along one axis and the rest of the variation lies along another axis that is perpendicular to the… Continue reading Introduction to Principal Components Analysis